How Woven Health Collective better serves client needs with Perplexity Enterprise

Enabling AI adoption in an industry where accuracy is non negotiable

Woven Health Collective helps biopharma companies get the word out on complex therapeutic advances. These range from blockbuster product launches to new gene therapies for rare diseases that affect only dozens of patients worldwide. When treatments offer patients hope, every message needs to be grounded and correct.

Science-focused companies have no room for error. Bart Zoni, Chief Digital, AI & Technology Officer, believed AI could help teams better synthesize clinical literature, analyze competitive landscapes, and review dense scientific data. However, to make sure that the company's expert scientists, strategists, and account teams adopted it, the AI solution had to provide exceptional depth and accuracy.

The first critical step Woven took was building trust with cautiously optimistic employees. The company's scientific services, creative, and content teams had previously used tools that made it difficult to trace sources consistently. This was a deal-breaker for professionals trained to verify every claim. Without clear citations, AI wouldn’t be a reliable research partner.

Besides trusted citations, Woven was seeking a platform that could handle document-heavy workflows. Any tool had to be able to query and understand context across research papers, presentations, complex data sets, and competitive analyses. Ideally, teams would be able to use multiple AI models so they could match models to unique tasks.

Delivering accurate and deep insights with Perplexity Enterprise

Woven Health Collective ended up choosing Perplexity Enterprise because it outperformed other platforms, standing out as the only AI solution that met Woven's high standards for data security and their science team's high bar for verifiable information. Employees also found it easy to use. “When we did our pilot, people found themselves exploring their natural curiosity and easily understanding how Perplexity worked,” Bart says.

As Perplexity finds answers, it surfaces the sources it's drawing from in real time. Beyond inline citations, scientists can highlight any part of the answer to see the exact source behind that claim. "Academic source integration supports a methodical approach to fact checking," Bart says.

Perplexity Enterprise's ability to search internal documents more deeply than other solutions was another key factor in the decision. Most other AI solutions focus on keyword search. It mattered to Woven Health Collective that Perplexity actually builds an index of your files that supports true semantic search, not just keyword matching. That means answers can be far more specific and nuanced than solutions that only search keywords.

The research teams upload research papers, presentations, and data sets to Spaces and then query them using conversational language. Many employees have largely replaced web searches with Deep Research and leverage tools within the Perplexity Enterprise platform to synthesize their own materials.

Bart recalls uploading 35 research papers he didn’t have time to read. "In minutes, I had a strong first-draft understanding," he says. "Reading those carefully would take nearly a full day. Perplexity even grasps subtext, something that's impressed our Scientific Services team."

The ability to combine social and academic sources in Perplexity searches also enables the Woven team to synthesize clinical literature alongside real-world patient discussions. This bridges the gap between clinical data and lived experience, allowing Woven to guide clients toward more compassionate, patient-centered communication.

Woven’s employees like trying different models based on the task, whether it's scientific writing, strategic analysis, or rapid iteration. Perplexity's multi-model approach has given Woven's team the flexibility to learn a single platform while enjoying the benefits of many advanced models as they evolve.

Driving AI adoption among AI skeptics

Six months after rollout, Perplexity has helped drive strong adoption at Woven Health Collective, with over 65% users now making regular use of the platform in their day-to-day work. Likewise, clients are increasingly embracing the safe use of AI in project delivery. "We have a lot of highly trained specialists and scientists in the business. Many approached AI with healthy skepticism," says Bart. "I think for many, the platform has earned a role in their daily work, rewarding them with more time for critical thinking and creativity."

Woven Health Collective's queries have evolved over time, reflecting increasing adoption of Perplexity Enterprise. In the early days, employee prompts focused primarily on tasks such as summarizing documents and formatting outputs. Within months, many users began treating Perplexity Enterprise like a true thought partner, leading to better questions, not just better answers. Teams are asking, "How should I be thinking about this?" rather than simply "summarize that."

In many ways, Perplexity has enabled Woven to better lean into client needs, by freeing their teams to maintain focus on the details that separate outstanding service from good.

Perplexity Enterprise helps Woven's employees to spend more time on the creative and strategic thinking that attracted them to Life Sciences in the first place. "This is a fast-paced industry,” Bart says. “Perplexity gives us the space to slow down and devote more energy to our clients' challenges and ultimately make a difference in the lives of the patients and caregivers who they serve."

Tips for using Perplexity Enterprise to streamline your workflows

Tip 1 - Build trust with verifiable insights. In highly regulated fields, teams need to see demonstrated reliability through verifiable citations and the ability to check sources. Allow teams to trace AI claims directly to primary scientific literature or internal data. This methodical approach helps overcome AI skepticism.

Tip 2 - Integrate internal knowledge into queries: When teams upload and query internal materials like research papers, presentations, and data tables, Perplexity can synthesize company knowledge in addition to information from the web. This turns Perplexity into an internal expert familiar with company context. Perplexity Enterprise never trains on your data.

Tip 3 - Encourage strategic use of AI: Encourage prompts like "How should we frame this argument?" instead of "Summarize this document." This mindset, along with Perplexity's multi-model flexibility, helps employees develop critical insights and speed up decision-making.